class_docstr: A class to represent a list of tokenized text.
docstr: Returns a list of the lemmatized text of each token.
  Returns None if this annotation was not included.
docstr_tok: ["Returns","a","list","of","the","lemmatized","text","of","each","token",".","Returns","None","if","this","annotation","was","not","included","."]
code: def lemmas(self):
      """Returns a list of the lemmatized text of each token.
      Returns None if this annotation was not included.
      """
      if "lemma" not in self.annotators:
          return None
      return [t[self.LEMMA] for t in self.data]
  
imports: import copy
  import logging
  import regex
  import spacy
label_desc: Use image node_id 8 for calling the Tokens obj's underlying member method code with example usage: obj.lemmas() and returns: unknown, None